I’m a final-year Computer Engineering student and Network Administrator with hands-on experience in computer networks, Linux systems, backend development, embedded systems, and applied computer vision.

Currently, I work as a Network Administrator at Pievision and as a Researcher at i-LAB, where I contribute to software, infrastructure, and AI-assisted systems for real-world laboratory and healthcare workflows.

I enjoy building systems that connect software, infrastructure, data, and hardware — from backend platforms and APIs to edge-device pipelines and computer vision prototypes.

• Network & System Administration Working with Linux servers, network infrastructure, troubleshooting, monitoring, and deployment workflows.

• Backend & Full-Stack Systems Building APIs, dashboards, authentication flows, role-based platforms, and workflow-oriented web applications.

• Computer Vision & Biomedical AI Developing AI-assisted systems for image processing, segmentation, instrument analysis, and damage detection.

• Embedded Systems & IoT Integrating Raspberry Pi, ESP32, sensors, cameras, barcode/QR readers, and device-to-cloud pipelines.

• Applied Research & Prototyping Turning research ideas into practical prototypes that combine software, hardware, and data-driven intelligence.

• Network Administration & IT Infrastructure
• Linux Server Administration
• Backend Architecture & API Design
• Computer Vision & Image Processing
• Medical / Biomedical AI
• Embedded Systems & IoT
• Edge AI and Device Integration
• Data Pipelines & Workflow Automation
• Human-centered engineering for real-world systems

A platform that aggregates tech events, bootcamps, hackathons, and training opportunities in Turkey to help students and early-career developers discover valuable opportunities more easily.

Highlights:

• Backend built with FastAPI
• Frontend built with React + Vite
• Responsive interface with dark/light theme support
• Event scraping and data aggregation pipeline
• Curated section for free learning resources

I contribute to internal platforms for managing laboratory workflows, research projects, users, data, and operational processes.

These systems involve:

• Role-based access control and dashboards
• API design and integration
• Authentication and authorization flows
• Workflow automation
• Data management and reporting
• Deployment and infrastructure configuration

An end-to-end prototype for surgical instrument identification, image capture, analysis, and reporting.

The system combines:

• Barcode / QR-based instrument identification
• Edge-device image capture
• Device-to-cloud data transfer
• Image processing and segmentation
• Computer vision-assisted damage detection
• Practical healthcare workflow design

I like building practical systems that connect software, infrastructure, data, and hardware.

Whether it is a networked backend platform, an embedded device pipeline, or an AI-assisted healthcare prototype, I enjoy turning complex ideas into working systems that can be used in real environments.